Minami's Control School (Japanese)

教員のみなみゆうきです．専門は制御工学です．制御工学は「モノの動きをデザインする科学」です．制御工学を勉強したいという方に，僕の知識をすこしでも届けられると良いなと思い，YouTubeをやっています．

2019年の秋，講義ノートの作成の様子を撮影し，YouTubeに動画をアップロードしたのを契機として，動画作成をはじめました...

Lectures on Modelling and Control of Dynamic Systems (French)

Lectures on Modelling and Control of Dynamic Systems from Patrick Lanusse of Bordeaux INP, France.

Intro to Data Science: Answering Questions with Data

This lecture describes the central aspect of data science: asking and answering questions with data. In particular, we discuss the thought process and progression of questions one might ask...

Adaptive Control (Part I) — Hypersonics and the MIT Rule

This blog post introduces the algorithm that ruled the adaptive flight control system of the first manned hypersonic aircraft, the North American X-15.

Modeling Perturbations and Element Failures in a Sensor Array

This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.

What Is Online Estimation?

This Mathworks document describes online estimation. Online estimation algorithms estimate the parameters and states of a model when new data is available during the operation of the...

Bridging the Gap: Using Real World Problems to Unveil Deep Control Principle...

This is a plenary lecture given at the 2020 IEEE Conference on Control Systems Technology, Montreal, Canada, August 24-26, 2020. There is no paper, but this is the video of the talk.

Automotive Radar MATLAB Documentation and Examples

MATLAB documentation and examples for probabilistic and physics-based radar sensor models, simulation of MIMO antennas, waveforms, I/Q radar signals, micro-Doppler signatures, detections...

MATLAB Discovery Page - Anomaly Detection

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning...

Principal Component Analysis (PCA) 1 [Python]

This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Python (part 1).

Online and Recursive System Identification | System Identification, Part 4

Online system identification algorithms estimate the parameters and states of a model as new data is measured and available in real-time or near real-time. Brian Douglas covers what online...

Jupyter Notebook: Code used to generate vibrational control of inverted pend...

Jupyter Notebook: Code used to generate vibrational control of inverted pendulum figures

Feedforward Control

When a Ratio Control strategy takes action too soon, use Feedforward to temper the dynamics.  When a disturbance can be measured, but would not be a ratio of the control output use...

Tuning PID Controllers

Tuning controllers is the procedure for choosing the coefficient values for the P, I and D modes.  It must be simple to execute, fast, and non-disruptive to the operating process.  Heuristic...

Computer Aids for Chemical Engineering

A curated list of resources for Chemical Engineering students. The resources include syllabi, schedules, course notes, textbooks, screencasts, software, hardware, and other useful links.

System Identification: DMD Control Example

This lecture gives a Matlab example of dynamic mode decomposition with control (DMDc) for full-state system identification.

Cascade Control

What is Cascade Control and why use it?

Advanced process control (APC): Theory & Applications in SAGD

This webinar is presented by Thiago Avila and covers what APC is, why we do it, examples of APC in the SAGD industry, what optimization opportunities are available, and where this technology...

Online Tuning using Simulink’s Closed-Loop PID Autotuner Block

Learn how to conduct an online tuning of a PI-speed controller using the MATLAB/Simulink Closed-Loop PID Autotuner Block. Tuned controller is validated on a Quanser QLabs Virtual QUBE-Servo...

Autonomous Navigation, Part 3: Understanding SLAM Using Pose Graph Optimizat...

This video provides some intuition around Pose Graph Optimization—a popular framework for solving the simultaneous localization and mapping (SLAM) problem in autonomous navigation.

We’ll...

What are Nonlinear ARX Models?

This Mathworks page provides an overview of Nonlinear ARX Models.Nonlinear ARX models extend the linear ARX models to the nonlinear case. The structure of these models enables you to model...

CS224n: Natural Language Processing with Deep Learning | Winter 2021

This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

From the abstract

Recent developments in deep reinforcement learning are concerned with creating decision-making agents which can perform well in various complex domains. A particular...

Vectors, Dot Products, Cross Products - 3D Kinematics

Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...

Introduction to Anomaly Detection for Engineers

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. This is important for applications like predictive maintenance but can be hard to...